Choose Mistral: Codestral 2508 (batch) if…
- you generate long outputs in one go — up to 205K tokens (about 153,600 words) per response
Mistral: Codestral 2508 (batch) vs OpenAI: GPT-5 Nano
Neither wins outright: Mistral: Codestral 2508 (batch) is the pick when you generate long outputs in one go, OpenAI: GPT-5 Nano when cost matters at scale.
Key numbers
| Spec | Mistral: Codestral 2508 (batch) | OpenAI: GPT-5 Nano |
|---|---|---|
| Provider | Mistral AI | OpenAI |
| Input price (per 1M tokens) | $0.15 | $0.05 |
| Output price (per 1M tokens) | $0.45 | $0.40 |
| Blended price (3:1 input/output) | $0.22 | $0.14 |
| Cheaper than … of all models we track | 68% | 75% |
| Context window | 256K tokens (~384 pages) | 400K tokens (~600 pages) |
| Larger context than … of all models | 45% | 63% |
| Max output per response | 205K tokens (~153,600 words) | 128K tokens (~96,000 words) |
| Input types | text, file | text, image, file |
| Output types | text | text |
| Free variant | No | No |
| Listed since | 2025-08-01 | 2025-08-07 |
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What it costs for real workloads
Monthly cost at list price for five common workloads. Token counts per unit are stated so you can scale them to your own traffic. A workload that does not fit a model's context window is marked rather than priced.
| Workload (per month) | Mistral: Codestral 2508 (batch) | OpenAI: GPT-5 Nano | Difference |
|---|---|---|---|
| Customer-support chatbot 50,000 conversations — each a 6-turn conversation (1,500 in / 400 out tokens) | $20.25 | $11.75 | OpenAI: GPT-5 Nano saves $8.50 |
| RAG search over documents 20,000 questions — each a question answered from ~8 retrieved passages (6,000 in / 500 out tokens) | $22.50 | $10.00 | OpenAI: GPT-5 Nano saves $12.50 |
| Coding / tool-using agent 2,000 tasks — each a multi-step task with tool calls and file context (60,000 in / 6,000 out tokens) | $23.40 | $10.80 | OpenAI: GPT-5 Nano saves $12.60 |
| Batch summarisation 10,000 documents — each a 6,000-word report summarised to a page (8,000 in / 600 out tokens) | $14.70 | $6.40 | OpenAI: GPT-5 Nano saves $8.30 |
| Long-document analysis 500 documents — each a 150-page contract or codebase read in one pass (100,000 in / 2,000 out tokens) | $7.95 | $2.90 | OpenAI: GPT-5 Nano saves $5.05 |
Capabilities side by side
| Capability | Mistral: Codestral 2508 (batch) | OpenAI: GPT-5 Nano | What it lets you do |
|---|---|---|---|
| Tool / function calling | ✓ Yes | ✓ Yes | call your APIs and run agent loops |
| Structured output (JSON schema) | ✓ Yes | ✓ Yes | return JSON that validates against your schema |
| Reasoning / thinking mode | — | ✓ Yes | spend extra tokens thinking before answering hard problems |
| Image input | — | ✓ Yes | read screenshots, charts and scanned pages |
| Audio input | — | — | take speech or audio directly |
| File / PDF input | ✓ Yes | ✓ Yes | accept documents without your own parsing step |
| Image output | — | — | generate images, not just text |
| Built-in web search | — | ✓ Yes | answer from live web results |
| Seed (reproducible sampling) | ✓ Yes | ✓ Yes | repeat a generation for tests and evals |
| Log-probabilities | — | — | read token confidence for classification and scoring |
From each model's published parameters and input/output types. “—” means not advertised, not proven absent.
Price history
- Mistral: Codestral 2508 (batch): input price cut 50% ($0.30 → $0.15/1M), output price cut 50% ($0.90 → $0.45/1M) on 2026-09-10.
- OpenAI: GPT-5 Nano: price unchanged since we started tracking it on 2026-03-10.
| Date | Model | Input / 1M | Output / 1M |
|---|---|---|---|
| 2026-09-10 | Mistral: Codestral 2508 (batch) | $0.15 | $0.45 |
Which should you choose?
Choose OpenAI: GPT-5 Nano if…
- cost matters at scale — it is 39% cheaper on a typical 3:1 input/output mix ($11.75 vs $20.25 a month for 50,000 support chats)
- you need to fit long inputs in one request — 400K tokens is roughly 600 pages, against 384
- you need reasoning / thinking mode — to spend extra tokens thinking before answering hard problems; Mistral: Codestral 2508 (batch) does not advertise it
- you need image input — to read screenshots, charts and scanned pages; Mistral: Codestral 2508 (batch) does not advertise it
- you need built-in web search — to answer from live web results; Mistral: Codestral 2508 (batch) does not advertise it
Frequently asked questions
Is Mistral: Codestral 2508 (batch) better than OpenAI: GPT-5 Nano?
Neither wins outright: Mistral: Codestral 2508 (batch) is the pick when you generate long outputs in one go, OpenAI: GPT-5 Nano when cost matters at scale. In short: Mistral: Codestral 2508 (batch) when you generate long outputs in one go; OpenAI: GPT-5 Nano when cost matters at scale, you need to fit long inputs in one request, you need reasoning / thinking mode, you need image input, you need built-in web search.
Which is cheaper, Mistral: Codestral 2508 (batch) or OpenAI: GPT-5 Nano?
OpenAI: GPT-5 Nano is cheaper: $0.14 vs $0.22 per 1M tokens at a typical 3:1 input/output mix, 39% less. For 50,000 support conversations a month that is $11.75 against $20.25.
How much do Mistral: Codestral 2508 (batch) and OpenAI: GPT-5 Nano cost per million tokens?
Mistral: Codestral 2508 (batch) costs $0.15 per 1M input tokens and $0.45 per 1M output tokens; OpenAI: GPT-5 Nano costs $0.05 input and $0.40 output. Output tokens are billed separately, so long answers shift the gap.
Which has the bigger context window, Mistral: Codestral 2508 (batch) or OpenAI: GPT-5 Nano?
OpenAI: GPT-5 Nano: 400K tokens, about 600 pages, against 256K (about 384 pages) for Mistral: Codestral 2508 (batch).
Do Mistral: Codestral 2508 (batch) and OpenAI: GPT-5 Nano support function calling and JSON output?
Tool calling — Mistral: Codestral 2508 (batch): yes, OpenAI: GPT-5 Nano: yes. JSON-schema structured output — Mistral: Codestral 2508 (batch): yes, OpenAI: GPT-5 Nano: yes.
Can Mistral: Codestral 2508 (batch) or OpenAI: GPT-5 Nano read images?
Only OpenAI: GPT-5 Nano accepts image input; Mistral: Codestral 2508 (batch) is text-only for input.
Is Mistral: Codestral 2508 (batch) or OpenAI: GPT-5 Nano free to use?
No free variant is listed for either; both are pay-per-token.
What is the maximum output length of Mistral: Codestral 2508 (batch) and OpenAI: GPT-5 Nano?
Mistral: Codestral 2508 (batch) can write up to 205K tokens (about 153,600 words) per response; OpenAI: GPT-5 Nano up to 128K (about 96,000 words).
When were Mistral: Codestral 2508 (batch) and OpenAI: GPT-5 Nano released?
Mistral: Codestral 2508 (batch) was listed on 2025-08-01; OpenAI: GPT-5 Nano on 2025-08-07.
Has the price of Mistral: Codestral 2508 (batch) or OpenAI: GPT-5 Nano changed?
Mistral: Codestral 2508 (batch): input price cut 50% ($0.30 → $0.15/1M), output price cut 50% ($0.90 → $0.45/1M) on 2026-09-10. OpenAI: GPT-5 Nano: price unchanged since we started tracking it on 2026-03-10.
About the two models
Mistral: Codestral 2508 (batch)
Mistral's cutting-edge language model for coding released end of July 2025. Codestral specializes in low-latency, high-frequency tasks such as fill-in-the-middle (FIM), code correction and test generation. [Blog Post](https://mistral.ai/news/codestral-25-08)
Full Mistral: Codestral 2508 (batch) specs →OpenAI: GPT-5 Nano
GPT-5-Nano is the smallest and fastest variant in the GPT-5 system, optimized for developer tools, rapid interactions, and ultra-low latency environments. While limited in reasoning depth compared to its larger...
Full OpenAI: GPT-5 Nano specs →